Datasets:
The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "tsfile/tsfile_py_cpp.pyx", line 567, in tsfile.tsfile_py_cpp.tsfile_reader_new_c
tsfile.exceptions.FileOpenError: 28:
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 271, in _split_generators
scan = self._scan_metadata(all_files)
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 318, in _scan_metadata
with self._open_reader(file) as reader:
~~~~~~~~~~~~~~~~~^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 742, in _open_reader
return TsFileReader(file)
File "tsfile/tsfile_reader.pyx", line 323, in tsfile.tsfile_reader.TsFileReaderPy.__init__
SystemError: <class '_weakrefset.WeakSet'> returned a result with an exception set
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 71, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Pickup Carrot No Subversion TsFile
This dataset is an Apache TsFile conversion of argus-systems/pickup-carrot-no-subversion, a LeRobot v2.1 robot-manipulation dataset created with LeRobot.
Modalities: Time-series. The converted repository contains numeric robot observations, actions, frame timing, episode/task tags, and mirrored source metadata. Camera videos remain in the original Hugging Face dataset.
Source Dataset
- Original dataset: argus-systems/pickup-carrot-no-subversion
- Repository owner: argus-systems
- License: Apache-2.0
- Robot type:
trossen_ai_stationary; Trossen subversion:v1.0 - Task: Pick up the carrot and put it in the bowl.
- Sampling rate: 30 fps
- Source frame files: 58 Parquet episodes, 25,922 rows (episode indexes 1–38, 40–49, and 51–60)
- Source frame layout:
data/chunk-000/episode_{episode_index:06d}.parquet - Source video layout:
videos/chunk-000/{video_key}/episode_{episode_index:06d}.mp4 - Video streams:
observation.images.cam_high,cam_low,cam_left_wrist, andcam_right_wrist(58 MP4 files per stream; 232 total) - The source card has no separate formal author, paper, or completed citation. Its
meta/info.jsonadvertises 61 episodes/27,261 frames, while the current revision contains the 58 files and 25,922 rows above.
Converted Files
- TsFile:
data/argus_systems_pickup_carrot_no_subversion.tsfile - Table:
argus_systems_pickup_carrot_no_subversion - Rows: 25,922
- Episodes represented: 58
- Time precision: milliseconds
meta/is mirrored from the source;meta/info.jsonis updated with the TsFile path and conversion record.
Schema
Time is round(timestamp * 1000) milliseconds. The source timestamp column is dropped because it is redundant with Time / 1000 seconds and restarts within each episode.
TAG columns (TsFile table/device dimensions):
episode_indextask_index
Scalar FIELD columns:
frame_index(INT64)sample_index(INT64), renamed from sourceindex
Flattened FLOAT FIELD groups:
action[14]→action_0…action_13observation.state[14]→observation_state_0…observation_state_13
Conversion Notes
- The shared config-driven
lerobotconverter was used through the local dataset-specific entry point. All 58 source Parquet files are merged into one table-model TsFile; filter by the TAG columns to select an episode or task. - Vector columns are flattened to scalar fields, preserving the full source prefix and replacing
.with_. No numeric rows or vector dimensions are intentionally dropped. - Encoding policy:
FLOAT/DOUBLE=GORILLA + LZ4;INT32/INT64andTime=TS_2DIFF + LZ4; BOOLEAN would useRLE + LZ4; TAG values use the TsFile table/device TAG mechanism. The source schema contains no BOOLEAN fields. - Videos are not duplicated here. They remain in the original repository under
videos/. Numeric rows remain frame-aligned throughepisode_indexandframe_index.
Validation
VALIDATION.md and validation_report.json are local artifacts documenting TsFile readability, schema, encoding policy, and row-count equality (25,922 rows). They are intentionally not part of an upload payload.
Usage
from tsfile import TsFileReader
reader = TsFileReader("data/argus_systems_pickup_carrot_no_subversion.tsfile")
table_name = "argus_systems_pickup_carrot_no_subversion"
columns = ["episode_index", "task_index", "frame_index", "sample_index", "action_0", "observation_state_0"]
with reader.query_table(table_name, columns, batch_size=65536) as result:
batch = result.read_arrow_batch()
print(batch.to_pandas().head())
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